Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

2. 통계/확률기반 적응형 임계치 결정알고리즘 제안
  2.1 통계/확률기반의 신호 특성 추출
  2.2 확률 분포 해석을 통한 임계치 설정
 3. 강제진동 실험 기반 신호 특성 추출알고리즘 검증
  3.1 실험 개요
  3.2 시간영역에서의 신호 특성 추출
  3.3 주파수영역에서의 신호 특성 추출
 4. 올림픽대교 측정데이터 기반 임계치 설정알고리즘 검증
  4.1 실험 개요
  4.2 시간영역에서의 알고리즘 수행
 5. 결 론
 감사의 글
 References

• 김태현(한국건설기술연구원 구조융합연구소 연구원) | Tae-Heon Kim 교신저자
• 박기태(한국건설기술연구원 구조융합연구소 연구위원) | Ki-Tae Park